- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04492943
To Observe Whether Isoflurane Can Treat COVID-19 Patients
Study Overview
Status
Conditions
Detailed Description
There are neither effective treatments nor fast detection for COVID-19. Here the investigators propose a medical records and excess clinical material study to determine whether anesthetic isoflurane can treat COVID-19. Specifically, inhalation anesthetics, including isoflurane, inhibit the replication of an RNA virus. In addition, anesthesia machines have been used to provide mechanical ventilation for COVID-19 patients at MGH and at other hospitals. Finally, due to the shortage of intravenous anesthetic propofol, inhalation anesthetics including isoflurane, delivered by the anesthesia machine, are currently used to sedate COVID-19 patients during mechanic ventilation. Moreover, isoflurane is very economical, e.g. $6 (isoflurane) versus $1200 (propofol) per patient per day in sedating COVID-19 patients. As such, the investigators propose to use this already established system in COVID-19 patients to determine whether isoflurane, delivered to lungs, can treat COVID-19 and especially COVID-19 pneumonia. In summary, the proposed study is a low risk observation research using the already established clinical care system of COVID-19 patients and the investigators will NOT have any additional procedures required for research purpose. The investigators will also collect the left-over clinical sample and then use nanotechnology to achieve fast detection of IgM/IgG ratio as the biomarker of the progress of COVID-19 following the isoflurane or propofol sedation.
Specifically, inhalation anesthetics, including isoflurane, inhibit replication of the measles virus and other RNA virus 1,2. Severe COVID-19 patients need mechanical ventilation to support lung function. The anesthesia machine can be used to ventilate lungs in these patients in addition to regular ventilators which has already been started at MGH and other hospitals as regular ventilators are extremely limited. Clinicians have already determined the settings of these machines, including humidification, for treating COVID-19 patients and the investigators will use these predetermined settings in this study. Additionally, there is a shortage of the intravenous anesthetic propofol. As a result, inhalation anesthetics including isoflurane, delivered by the anesthesia machine, are currently used to sedate COVID-19 patients during mechanic ventilation. Moreover, isoflurane is very economical, e.g. $6 (isoflurane) versus $1200 (propofol) per patient per day in sedating COVID-19 patients. As such, the investigators propose to use this already established system in COVID-19 patients to determine whether isoflurane, delivered to lungs, can treat COVID-19 and especially COVID-19 pneumonia better than other sedatives in this retrospective data collection study. Moreover, in pre-clinical studies, the investigators propose to establish a system to determine whether inhalation anesthetics can treat virus-induced pneumonia by reducing the amount of virus, e.g., SARS-CoV-2 and influenza.
Sensitive, cost-effective and fast detection of SARS-CoV-2 is extremely critical. Currently, a real-time polymerase chain reaction (PCR) test detects the genetic material of SARS-CoV-2. However, the test has large false negatives, poses risks during specimen collection and sample handling, and takes a long time (~ 8 hours). However, in response to SARS-CoV-2, IgG is the most abundant immunoglobulin to be produced and is maintained in the body after initial exposure for a long-term response. IgM is the first immunoglobulin to be produced but is primarily detected during the early onset of disease. Therefore, SARS-CoV-2 specific IgM/IgG ratio in blood could be used as biomarker for COVID-19 prognostics (Fatma et al, medRxiv, 2020), and could also be used as a measure of drug response 3. The nanoneedle technology developed at a startup-company from Harvard University (NanoMosaic LLC) provides pg/ml-level sensitivity and 10 uL sample volume for quantification of a panel of biomarkers including SARS-CoV-2 specific IgG and IgMs in a single assay. The technology uses nanoneedle biosensors densely integrated on a silicon chip and manufactured with CMOS-compatible nanofabrication processes 4. Each nanoneedle is a label-free biosensor and changes its scattering spectrum when an antigen binds to its surface. Each analyte-specific sensing area consists of a total of ~24k nanoneedles divided into a digital region (~20k nanoneedles), an analog region (~3k nanoneedles) and a fabrication QC region (~1k nanoneedles), thus providing a wider dynamic range beyond the digital counting concentration ranges. Each single analyte area, including both digital and analog sensors, is less than 500 um. With further development, the entire assay can be finished in a half-hour on a table-top instrument with less than 10 ul blood samples, which will facilitate therapeutic development and decision making for COVID-19 and other virus-induced pneumoniae.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Massachusetts
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Boston, Massachusetts, United States, 02129-2020
- Massachusetts General Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Over the age of 18 years old
- Tested positive for COVID-19
- Documented SARS-CoV-2 carriage in the nasopharyngeal sample by PCR
- Intubated for mechanical ventilation with an anesthesia machine
Exclusion Criteria:
- Patient or any their family members have any contraindication for inhalation anesthetics (e.g., malignant hyperthermia).
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Survival Outcome
Time Frame: From the date of hospital admission until date of discharge or death of any cause, assessed up to 6 months.
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Survival outcome will be based on whether the patient either (a) recovers from COVID-19 and is discharged from the hospital or (b) does not recover from COVID-19 and passes away while in the hospital.
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From the date of hospital admission until date of discharge or death of any cause, assessed up to 6 months.
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COVID-19 Testing Methods
Time Frame: From the date of hospital admission until date of discharge or death of any cause, assessed up to 6 months.
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Identifying faster COVID-19 testing methods, specifically nanoneedle biotechnology.
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From the date of hospital admission until date of discharge or death of any cause, assessed up to 6 months.
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COVID-19 Clearance
Time Frame: From the date of hospital admission until date of discharge or death of any cause, assessed up to 6 months.
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COVID-19 clearance will be based on whether the patient either (a) tests negative for COVID-19 after treatment in the hospital or (b) does not test negative for COVID-19 after treatment in the hospital.
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From the date of hospital admission until date of discharge or death of any cause, assessed up to 6 months.
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Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2020P001048
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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